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The Case For Change Notifications in Pull-Based Databases

dc.contributor.authorWingerath, Wolfram
dc.contributor.authorGessert, Felix
dc.contributor.authorFriedrich, Steffen
dc.contributor.authorWitt, Erik
dc.contributor.authorRitter, Norbert
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-21T11:24:39Z
dc.date.available2017-06-21T11:24:39Z
dc.date.issued2017
dc.description.abstractModern web applications often require application servers to deliver updates proactively to the client. These push-based architectures, however, are notoriously hard to implement on top of existing infrastructure, because today’s databases typically only support pull-based access to data. In this paper, we first illustrate the usefulness of query change notifications and the complexity of providing them. We then describe use cases and discuss state-of-the-art systems that do provide them, before we finally propose a system architecture that offers query change notifications as an opt-in feature for existing pull-based databases. As our proposed architecture distributes computational work across a cluster of machines, we also compare scalable stream processing frameworks that could be used to implement the proposed system design.en
dc.identifier.isbn978-3-88579-660-2
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-266
dc.subjectcontinuous queries
dc.subjectmaterialized view maintenance
dc.subjectreal-time stream processing
dc.subjectBig Data
dc.titleThe Case For Change Notifications in Pull-Based Databasesen
dc.typeText/Conference Paper
gi.citation.endPage280
gi.citation.publisherPlaceBonn
gi.citation.startPage269
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleScalable Cloud Data Management Workshop (SCDM 2017)

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